Development of Evolutionary Systems Based on Quantum Petri Nets
نویسندگان
چکیده
Evolutionary systems (ES) include software applications that solve problems using heuristic methods instead of the deterministic ones. The classical computing used for ES development involves random to improve different kinds genomes. mappings these genomes lead individuals correspond searched solutions. individual evaluations by simulations serve improvement their genotypes. Quantum computations, unlike can describe and simulate a large set simultaneously. This feature is diminish time finding Petri Nets (QPNs) model dynamical with probabilistic features make them appropriate ES. Some examples QPNs are given show benefits current approach. research solves quantum evolutionary genetic algorithms conceived improved based on QPN. They were tested dynamic system Discrete Controlled Walker (QDCW).
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ژورنال
عنوان ژورنال: Mathematics
سال: 2022
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math10234404